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Parallel Problem Solving from Nature - PPSN III

International Conference on Evolutionary Computation. The Third Conference on Parallel Problem Solving from Nature, Jerusalem, Israel, October 9 - 14, 1994. Proceedings

  • Conference proceedings
  • © 1994

Overview

Editors:
  1. Yuval Davidor
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  2. Hans-Paul Schwefel
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  3. Reinhard Männer
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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 866)

Included in the following conference series:

Conference proceedings info: PPSN 1994.

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Table of contents (61 papers)

  1. Front Matter

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  2. Lamarckian evolution, the Baldwin effect and function optimization

    • Darrell Whitley, V. Scott Gordon, Keith Mathias
    Pages 5-15

  3. Control of parallel population dynamics by social-like behavior of GA-individuals

    • Dirk C. Mattfeld, Herbert Kopfer, Christian Bierwirth
    Pages 16-25

  4. Studying genotype-phenotype interactions: A model of the evolution of the cell regulation network

    • Emmanuel Chiva, Philippe Tarroux
    Pages 26-35

  5. A diploid genetic algorithm for preserving population diversity — Pseudo-Meiosis GA

    • Yoshida Yukiko, Adachi Nobue
    Pages 36-45

  6. Co-evolutionary constraint satisfaction

    • Jan Paredis
    Pages 46-55

  7. Towards a theory of ‘evolution strategies’: Results for (1 , + λ)-strategies on (nearly) arbitrary fitness functions

    • Hans-Georg Beyer
    Pages 57-67

  8. Advanced correlation analysis of operators for the traveling salesman problem

    • John Dzubera, Darrell Whitley
    Pages 68-77

  9. Genetic algorithms with multi-parent recombination

    • A. E. Eiben, P. -E. Raué, Zs. Ruttkay
    Pages 78-87

  10. On the mean convergence time of evolutionary algorithms without selection and mutation

    • Hideki Asoh, Heinz Mühlenbein
    Pages 88-97

  11. Estimating the heritability by decomposing the genetic variance

    • Hideki Asoh, Heinz Mühlenbein
    Pages 98-107

  12. Analyzing hyperplane synthesis in genetic algorithms using clustered schemata

    • Thang Nguyen Bui, Byung-Ro Moon
    Pages 108-118

  13. Convergence models of genetic algorithm selection schemes

    • Dirk Thierens, David Goldberg
    Pages 119-129

  14. Optimal population size under constant computation cost

    • Ryohei Nakano, Yuval Davidor, Takeshi Yamada
    Pages 130-138

  15. An evolutionary algorithm for integer programming

    • Günter Rudolph
    Pages 139-148

  16. Long path problems

    • Jeffrey Horn, David E. Goldberg, Kalyanmoy Deb
    Pages 149-158

  17. Evolution strategies on noisy functions how to improve convergence properties

    • Ulrich Hammel, Thomas Bäck
    Pages 159-168

  18. Selection schemes with spatial isolation for genetic optimization

    • Károly F. Pál
    Pages 169-179

  19. A modified edge recombination operator for the Travelling Salesman Problem

    • Anthony Yiu-Cheung Tang, Kwong-Sak Leung
    Pages 180-188

  20. Step-size adaptation based on non-local use of selection information

    • Andreas Ostermeier, Andreas Gawelczyk, Nikolaus Hansen
    Pages 189-198
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  1. Parallel Problem Solving from Nature — PPSN III

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About this book

This volume comprises the 61 revised refereed papers accepted for presentation at the ICEC/PPSN III conferences held jointly in Jerusalem, Israel in October 1994.
With the appearance of more and more powerful computers, there is increased interest in algorithms relying upon analogies to natural processes. This book presents a wealth of new theoretical and experimental results on artificial problem solving by applying evolutionary computation metaphors, including evolution strategies, evolutionary programming, genetic algorithms, genetic programming, and classifier systems. Topics such as simulated annealing, immune networks, neural networks, fuzzy systems, and complex, real-world optimization problems are also treated.

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